Takehiro Hayashi

1.3k citations
44 papers · 943 · h-index 15

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Hepatitis C virus research
  • Oncology top 10%
    • Cancer Cells and Metastasis

Papers in

Takehiro Hayashi

43 papers receiving 924 citations

Peers

Takehiro Hayashi
Comparison fields: 5 of 77
  • Hepatology 232
  • Oncology 307
  • Cancer Research 167
  • Epidemiology 152
  • Molecular Biology 330
Replace Zhao‐Ru Dong with:
Zhao‐Ru Dong China
Yutaka Kurebayashi Japan
Dulabh Monga United States
Ioannis Diamantis Switzerland
Yong Yi China
Wenfang Tian China
Morito Monden Japan
Ningling Ge China
Hongyu Zhang China
Takehiro Hayashi relative to Zhao‐Ru Dong China Zhao‐Ru Dong's profile →
Citations per field
00.5×2.6×
Zhao‐Ru Dong · 1×
Citations per year

Countries citing papers authored by Takehiro Hayashi

Since Specialization
Citations

This map shows the geographic impact of Takehiro Hayashi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Takehiro Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takehiro Hayashi more than expected).

Fields of papers citing papers by Takehiro Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takehiro Hayashi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Takehiro Hayashi. The network helps show where Takehiro Hayashi may publish in the future.

Co-authors

The 25 scholars most cited alongside Takehiro Hayashi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takehiro Hayashi Line = papers co-authored together Takehiro Hayashi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012226
2 2013115
3 201576
4 201471
5 200645
6 200931
7 200530
8 201728
9 201328
10 201726
11 200524
12 201221
13 200917
14 201716
15 200814
16 200613
17 201713
18 201913
19 200813
20 202012

About Takehiro Hayashi

Takehiro Hayashi is a scholar working on Molecular Biology, Epidemiology, Hepatology, Pulmonary and Respiratory Medicine and Surgery, having authored 44 papers that have together received 943 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (5 papers), Hepatitis C virus research (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Cancer Cells and Metastasis (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Head and Neck Cancer Studies (3 papers), Liver Disease and Transplantation (3 papers) and Medical Imaging and Pathology Studies (3 papers). The work is most often cited by research in Hepatology (232 citations), Oncology (307 citations), Cancer Research (167 citations), Epidemiology (152 citations) and Molecular Biology (330 citations). Takehiro Hayashi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Taro Yamashita, Masao Honda, Kouki Nio, Yasumasa Hara, Sha Zeng, Mitsumasa Kondo, Susumu Shiomi, Tomoyuki Hayashi, Shuichi Kaneko and Naoki Oishi. Their work appears in journals such as Annals of Nuclear Medicine, Biochemical and Biophysical Research Communications, Journal of Interferon & Cytokine Research, Journal of Hepatology and Liver International.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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